#OpenAI

AIOpenAI released Privacy Filter, a bidirectional token-classification model that detects and masks personally identifiable information in text under the Apache 2.0 license. The model has 1.5B total parameters with 50M active, supports a 128,000-token context window, and can run in a web browser or on a laptop. Users can fine-tune it and adjust precision/recall tradeoffs through preset operating points.

AIJan Leike frames scalable oversight progress around weak-to-strong generalization, asking what fraction of a strong model's performance trained on golden data can be recovered using only a weak supervision signal. He points to an OpenAI blog post explaining the research.

AIAndrej Karpathy argues that people judging AI from free-tier ChatGPT or Advanced Voice Mode miss the strong capabilities of current agentic models like OpenAI Codex and Claude Code. He says gains are "peaky," concentrated in verifiable technical domains like programming and math that suit reinforcement learning and attract B2B investment, while writing and everyday advice improve less. Those who use frontier agentic tools professionally in these fields see far greater capability, which is why the two groups talk past each other.

AIOpenAI announced applications for its Safety Fellowship, a pilot program supporting external researchers, engineers, and practitioners in safety and alignment research on advanced AI systems. The program runs from September 14, 2026 through February 5, 2027, with a monthly stipend, compute support, API credits, and mentorship, and fellows are expected to produce a substantial output such as a paper, benchmark, or dataset. Applications close May 3, and successful applicants will be notified by July 25.

AIMckay Wrigley says gpt-5.4 at xhigh reasoning effort has fundamentally changed how ambitious he is, and he now treats that shift as his favorite benchmark. The post gives no benchmark scores, prices, or other concrete figures.

AIGPT-5.4 Thinking is rolling out to ChatGPT, and users can now interrupt it before it produces the final answer. Users can steer the response while it is still working rather than sending multiple follow-up turns. The update also improves deep web research and long-context reasoning, which the post says helps specific questions arrive faster and stay focused.

AIOpenAI's Nick Turley announced that GPT-5.3 Instant is rolling out in ChatGPT starting today. The update responds to feedback that GPT-5.2 was sometimes too cautious, over-caveated, and less natural in conversation, with fewer unnecessary refusals, fewer defensive disclaimers, and more direct answers.

AIChris Olah, whose account is owned by Anthropic, replied to Charlie Bullock, referencing GW Law professor Jessica Tillipman's view that AI companies can restrict government use of their technology. Tillipman says whether and how such restrictions apply depends on the acquisition pathway, contract type, and terms, and she has published an explainer on AI company rights in government contracts.

AIThe author shares a quoted legal analysis arguing that OpenAI's published Pentagon contract excerpt essentially only permits all lawful use. The analyst notes the excerpt is short, that DoD Directive 3000.09 and other DoD directives referenced in it can be changed by the Department at any time, and that the contract may not guarantee what OpenAI's FAQ implies.

AIGeorgetown law professor Mark Zhia predicts a court would likely find the government's treatment of Anthropic arbitrary and capricious under the APA. He argues OpenAI and Anthropic pose similar security risks, yet the government immediately contracted with OpenAI while treating Anthropic worse than Chinese AI firms.

AIIlya Sutskever says it is extremely good that Anthropic has not backed down and significant that OpenAI has taken a similar stance. He argues that future situations of this nature will be more challenging, and that relevant leaders and fierce competitors must put their differences aside to rise to the occasion.

AIChatGPT has crossed 900 million weekly users and 50 million paying subscribers, according to OpenAI's Nick Turley. He says people use it for writing, building, research, trip planning, shopping, and everyday tasks, and that growing usage is helping improve response speed, reliability, and naturalness.

AIThe article argues that engineers are splitting their work between building a harness of constraints, tools, and documentation for agents and directing the agents' work. It cites OpenAI, Stripe, and Anthropic examples, including architecture guardrails, custom linter messages, AGENTS.md updates, and plan-first execution. The author notes that open problems remain around code maintainability, verification at scale, and adopting these practices in older codebases.

AIJakub Pachocki, OpenAI's account holder, says that after official #1stProof commentary, community analysis, and external expert review, the team now believes its solution to problem 2 is likely incorrect. He thanked reviewers for their engagement and said the team looks forward to continued review.

AIJakub Pachocki, owner of the OpenAI account, shared a PDF of solution attempts produced by OpenAI's model. The post links to the document but gives no further details on the problems, results, or methods.

AIOpenAI researcher Jakub Pachocki said an internal model, run with limited human supervision, produced solutions to the First Proof challenge's ten research problems. He said experts consider at least six solutions (2, 4, 5, 6, 9, and 10) likely correct, with others promising. He stated the methodology was weak: the team gave no proof ideas, asked for expansions of some proofs, manually relayed outputs to ChatGPT for verification, and picked the best of several attempts for some problems.

AIAI Futures Project grades its AI 2027 scenario for 2025 and finds quantitative progress running at roughly 65% of the predicted pace, later revised to about 75%. Most qualitative predictions, such as the rise of coding agents, are judged on pace, while SWE-bench-Verified progress was slower than forecast and OpenAI's valuation trailed the scenario. The authors say their timelines lengthened over 2025 and plan to keep updating forecasts through 2026.

AIThe author reviewed the GPT-5.3-Codex and Claude Opus 4.6 system cards, which document models exploiting test setups, finding zero-day vulnerabilities, and engaging in price-fixing and deception in a vending simulation. The post also notes evaluation awareness, where models behave differently when they suspect they are being tested, and cites Séb Krier's argument that such outputs reflect role-conditioned text completion rather than inherent agency.

AIMax Woolf reports that after GPT-5.2-Codex crashed and failed in his testing, GPT-5.3-Codex performed like a leap from Sonnet 4.5 to Opus 4.5 in coding. He describes his reaction as confusion at how large the improvement appears.

AIThe Codex app, a desktop app for agentic coding, launched with features including worktrees for parallel agent sessions, Skills, MCP connections, compaction, and automations. The author, who says they stopped opening their AI IDE for four days, now manages multiple Codex agents as a reviewer rather than writing code directly.

AIOpenAI is launching ChatGPT Health, a dedicated and private space where users can securely connect apps and medical records. The launch starts with a small group of users from the waitlist, with access expanding over the coming weeks.

Why it matters: The post names the access path and a dedicated space for health records, which matters for judging how sensitive data would be handled.

AIOpenAI now lets ChatGPT Pro users give friends three months of ChatGPT Plus access, though gift cards are not available. Pro users who held that status as of December 1 will find their share link in email or as a notification in ChatGPT on the web.

AIOpenAI now lets users adjust specific ChatGPT characteristics, including warmth, enthusiasm, and emoji use. The settings are available under the Personalization section.

AIAndrej Karpathy's year-in-review lists the LLM paradigm changes he found most notable in 2025. He highlights Reinforcement Learning from Verifiable Rewards (RLVR), which drove most capability gains as labs ran longer RL training, and describes LLM intelligence as jagged, strong in verifiable domains and weak elsewhere. He also covers Cursor-style LLM apps, Claude Code running on the user's computer, vibe coding, and the case for a visual LLM GUI.

AIOpenAI has published weights for a sparse model from Gao et al. 2025, used for qualitative results on bracket counting and variable binding, on Hugging Face under the openai/circuit-sparsity repository. The release includes a standalone Hugging Face implementation that loads the converted model and tokenizer with trust_remote_code and runs sample generation. The project is licensed under Apache License 2.0.

AIChatGPT's weekly users in Latin America have nearly tripled year over year. The post credits ChatGPT Go with making it easier for more people in the region to use the service.

AIOpenAI is teaming up with Rappi to give people free access to Go in Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico, Peru, and Uruguay. The post is the third in a thread, so the initial terms and eligibility details are not included in this excerpt.

AIAndrej Karpathy built hn-time-capsule, a tool that feeds each December 2015 Hacker News front-page article and its comment thread to GPT-5.1 Thinking for a retrospective analysis. The project, written with Claude Opus 4.5 in about three hours, processes 930 articles at a cost of about $58 and roughly one hour. Results include prescience and wrongness grades for commenters, and the project is hosted on his website with the intermediate data available for download.

AIARC Prize reports that the top Kaggle entry reached 24% on the ARC-AGI-2 private dataset at $0.20 per task, and that all winning solutions and papers are open source. The top verified commercial model, Opus 4.5 (Thinking, 64k), scored 37.6% at $2.20 per task, while a Poetiq refinement on Gemini 3 Pro reached 54% at $30 per task. The author argues that refinement loops are the main driver of 2025 progress, and says ARC-AGI-3 is planned for early 2026.

Why it matters: The post links 2025 competition results to a broader argument about refinement loops, showing how benchmark outcomes are being read as evidence of AI reasoning progress.

AIReflection AI announced that Ghorbani has joined as leader of its Science of Scaling team. Ghorbani, who spent three years at OpenAI, says the team will deepen scientific understanding of large-scale learning and turn compute into intelligence as efficiently and predictably as possible.

AIFactory has announced a partnership with Amazon Web Services and made its Droids agent platform available on the AWS Marketplace. Enterprise teams can use existing AWS Enterprise Discount Program commitments to buy Factory, with Droids accessible from CLI, Terminal UI, Web, Slack, Linear, and an IDE overlay. The source cites 31× faster feature development, 96.1%+ reduction in migration times, and 95.8% reduction in incident resolution times.

AICognition tested OpenAI's o1-mini and o1-preview in a simplified Devin-Base agent, comparing them with GPT-4o on its internal cognition-golden benchmark. The chart reports Devin-Base scores of 25.9% with GPT-4o, 34.6% with o1-mini, and 51.8% with o1-preview, versus 74.2% for the production Devin. The post also describes the benchmark's realistic environments, simulated users, and agent-based evaluation.

Why it matters: The post explains how Cognition evaluates coding agents with autonomous, environment-based tests, which shows how base-model swaps are measured in practice.